Why Knot Me AI & Recommendation Disclosure
This AI & Recommendation Disclosure explains how Why Knot Me may use algorithms, automated systems, personalization systems, machine learning tools, recommendation engines, behavioral analysis systems, moderation systems, and related technologies throughout the WKM platform.
Why Knot Me is a relationship, hospitality, reservation, matchmaking, and social discovery platform.
Our systems are designed to help personalize experiences, improve discovery, support safety, and assist users and businesses in navigating real world experiences.
By using WKM, you acknowledge and agree to the practices described in this AI Disclosure.
1. About WKM Recommendation Systems
WKM may use recommendation systems to help personalize:
• Sparks
• Matchmaking suggestions
• Venue recommendations
• Event recommendations
• City Explorer experiences
• Reservation recommendations
• Relationship oriented experiences
• Hospitality discovery
• Social discovery experiences
• Business visibility systems
Recommendation systems are designed to improve discovery and relevance.
Recommendations are informational only.
2. Recommendations Are Not Guarantees
WKM does not guarantee:
• Compatibility
• Attraction
• Relationship success
• Emotional outcomes
• Reservation outcomes
• Event outcomes
• Friendship outcomes
• Venue experiences
• User behavior
• Matchmaking success
Recommendations are probabilistic.
Different users may experience different recommendations and results.
3. Signals Used by Recommendation Systems
WKM systems may consider a variety of signals including:
• User preferences
• Venue interactions
• Reservation activity
• Event participation
• Sparks activity
• Engagement patterns
• Search behavior
• Saves and follows
• Likes and comments
• Relationship settings
• Dating intentions
• Business activity
• Venue popularity
• City activity
• Hospitality interactions
• Safety signals
• Community moderation signals
• Device and technical signals
Signals and weighting may evolve over time.
4. Location-Based Personalization
WKM may use location related information to personalize venue recommendations, nearby experiences, City Explorer content, reservation suggestions, event recommendations, social discovery opportunities, and hospitality experiences.
Location systems may use precise location data, approximate location data, IP based location information, and city level information.
Users may control location access through device settings.
5. Sparks and Matchmaking Systems
WKM may use automated systems to support Sparks and matchmaking experiences.
These systems may consider shared interests, hospitality preferences, behavioral signals, venue activity, reservation patterns, engagement signals, user intentions, relationship preferences, shared experiences, and city activity.
Sparks and matchmaking systems are informational only.
Users remain responsible for communication, real world decisions, boundaries and consent, personal safety, and relationship choices.
6. Business and Venue Recommendation Systems
WKM may recommend businesses or venues based on venue engagement, user interaction patterns, hospitality relevance, reservation activity, event participation, recommendation performance, user preferences, geographic relevance, platform activity, and venue quality indicators.
Recommendation visibility may change over time.
Businesses cannot purchase guaranteed recommendation placement unless explicitly disclosed.
7. AI-Assisted Moderation and Safety Systems
WKM may use automated systems and human review to help detect fraud, identify abuse, moderate harmful content, detect suspicious behavior, enforce safety policies, reduce spam, identify fake accounts, investigate harassment, and maintain platform integrity.
Moderation systems may analyze user generated content, messaging behavior, reservation activity, event activity, reports and complaints, and platform interactions.
Moderation decisions may involve both automated and human review.
8. Ghost Mode and Visibility Systems
WKM may use visibility systems to manage profile visibility, discovery exposure, Ghost Mode behavior, recommendation eligibility, venue exposure, event visibility, and matchmaking participation.
Ghost Mode and visibility controls may affect discovery frequency, recommendation placement, and exposure within platform systems.
Visibility systems are dynamic and may evolve over time.
9. Personalization and Dynamic Experiences
WKM may personalize user interfaces, venue ordering, recommendation ranking, event suggestions, hospitality experiences, notification timing, promotional offers, matchmaking flows, and discovery experiences.
Not all users will see identical experiences.
10. AI Limitations
Automated systems may make mistakes, produce inaccurate recommendations, misinterpret context, change over time, and evolve as systems improve.
WKM does not guarantee that recommendation systems or moderation systems will always be accurate.
Users should use independent judgment.
11. Human Decision-Making
WKM recommendation systems are designed to assist discovery and platform functionality.
Users remain responsible for their decisions, real world interactions, relationship choices, venue choices, reservation participation, event participation, and personal safety.
WKM does not replace human judgment.
12. Business Analytics and Operational Systems
Businesses using WKM may receive analytics or operational insights, including reservation analytics, engagement analytics, crowd insights, recommendation performance, event performance, and hospitality activity trends.
Businesses may not misuse analytics, attempt to improperly identify anonymous users, resell platform data, or build competing systems using WKM data.
13. Advertising and Promotions
WKM may use recommendation systems to personalize promotions, hospitality recommendations, event visibility, discovery experiences, business exposure, and product recommendations.
Promotional experiences may vary between users.
14. User Control and Preferences
Users may control certain recommendation related settings through profile settings, relationship settings, visibility settings, notification settings, location settings, and preference selections.
Some recommendation systems may continue operating even when certain settings are adjusted.
15. Data and Privacy
Recommendation systems may use information described in our Privacy Policy, including behavioral signals, engagement patterns, reservation history, event participation, device information, location information, and hospitality interactions.
Users should review the WKM Privacy Policy for additional information.
16. Evolving Systems
WKM systems may evolve over time.
We may modify recommendation logic, introduce new personalization systems, adjust moderation systems, improve ranking systems, introduce new safety tools, and update recommendation categories.
Features and algorithms may change without prior notice.
17. Transparency and Responsible Use
WKM is committed to building recommendation systems that support real world connection, healthy social discovery, hospitality experiences, user safety, respectful interactions, and meaningful experiences.
We aim to avoid manipulative or deceptive recommendation practices.
18. No Professional Advice
WKM recommendation systems do not provide mental health advice, relationship counseling, legal advice, financial advice, medical advice, or professional matchmaking guarantees.
Recommendations are informational only.
19. Disclaimers
WKM provides recommendation systems on an "AS IS" and "AS AVAILABLE" basis.
WKM does not guarantee recommendation accuracy, relationship outcomes, compatibility, venue experiences, reservation success, emotional outcomes, safety outcomes, or platform visibility.
20. Changes to This Disclosure
WKM may update this AI Disclosure periodically.
Continued use of WKM constitutes acceptance of updated disclosures.
Contact Information
Why Knot Me Inc.